B.TechSemester 52024-25Introduction To Data Analytics And VisualizationBCDS501
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Introduction To Data Analytics And Visualization (BCDS501) - AKTU Question Paper 2024-25

B.Tech · Semester 5 · Free PDF Download

This is the official AKTU Introduction To Data Analytics And Visualization Previous Year Question Paper for B.Tech Semester 5, academic session 2024-25. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:B.Tech
Semester:Semester 5
Session:2024-25
University:AKTU / UPTU

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Questions Asked in 2024-25

Introduction To Data Analytics And Visualization (BCDS501) — complete question paper · 70 marks · 3 Hours

Section AAttempt all questions in brief. 2 x 07 = 14
  • a
    What are the challenges and solutions associated with scaling analytics in modern organizations?
  • b
    How do modern tools bridge the g ap between analysis and reporting? 1 K 3
  • c
    Compare and contrast Bayesian mo deling with neural networks in terms of their applications
  • d
    How do linear and nonlinear dyna mics influence the accuracy of predictions?
  • e
    Analyze the challenges of rea l-time sentiment analysis. 3 K 2
  • f
    How do methods like CLIQUE and ProCLUS overcome traditional clustering limitations?
  • g
    What are the trade-offs betw een static and dynamic visualizations? 5 K 2
Section BAttempt any three of the following: 07 x 3 = 21
  • a
    Describe the key characterist ics of Big Data. How do these characteristics necessitate the development of advanced analyti cs platforms?
  • b
    Explain the concept of rule induction in data mining. How is it used to derive meaningful patterns from datasets?
  • c
    Describe the concept of decaying windows in stream analytics . How does it help in managing memory and computational resources?
  • d
    Compare and contrast hierarchi cal clustering and K-means clu stering. What are the advantages and disadvantages of each?
  • e
    Discuss the importance of fi gure captions in visual interfac es. How do they enhance the interpretability of data visualizations?
Section CAttempt any one part of the following: 07 x 1 = 07
  • a
    How has the need for data ana lytics evolved with the advent of IoT and real-time systems? Provide relevant examples
  • b
    Define the term 'analytic lifecycle.' How do the roles of st akeholders vary across its different phases?
  • a
    Critically analyze the challe nges of multivariate analysis i n high- dimensional datasets. How can these challenges be addressed?
  • b
    How do stochastic search met hods differ from deterministic optimization techniques? Provide use cases for each
  • a
    Discuss the role of Real-Time Analytics Platforms (RTAP) in modern enterprises. Provide a case study to support your explanation
  • b
    Describe the steps involved in building a real-time stock ma rket prediction system using stream a n a l y t i c s . W h a t a r e t h e k e y considerations?
  • a
    What is parallelism in clustering algorithms? How does it im prove performance in handling large datasets?
  • b
    How is clustering applied to streaming data? Discuss the mod ifications needed in traditional clustering algorithms for stream analytics
  • a
    Explain the concept of navigation links in data visualizatio n. How do they improve user interaction with complex datasets?
  • b
    Explain the role of human vision in designing effective data visualizations. How do space and time limitations influence thi s process?

Question text is extracted from the official AKTU question paper PDF above. Hindi translations are omitted — every question is printed in English in the original paper. Last verified: 2026-08-23.

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